Daniel Zheng

585 total citations · 1 hit paper
14 papers, 318 citations indexed

About

Daniel Zheng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Daniel Zheng has authored 14 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Computer Networks and Communications and 4 papers in Hardware and Architecture. Recurrent topics in Daniel Zheng's work include VLSI and FPGA Design Techniques (4 papers), Interconnection Networks and Systems (4 papers) and Heat Transfer and Optimization (2 papers). Daniel Zheng is often cited by papers focused on VLSI and FPGA Design Techniques (4 papers), Interconnection Networks and Systems (4 papers) and Heat Transfer and Optimization (2 papers). Daniel Zheng collaborates with scholars based in United States, Hong Kong and China. Daniel Zheng's co-authors include Sam Blackwell, András Juhász, Petar Veličković, Lars Buesing, Marc Lackenby, Alex Davies, Peter Battaglia, Nenad Tomašev, Charles Blundell and Demis Hassabis and has published in prestigious journals such as Nature, Energy and International Journal of Heat and Fluid Flow.

In The Last Decade

Daniel Zheng

13 papers receiving 304 citations

Hit Papers

Advancing mathematics by guiding human intuition with AI 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Zheng United States 6 124 52 41 25 24 14 318
Alhussein Fawzi United Kingdom 3 171 1.4× 49 0.9× 46 1.1× 13 0.5× 38 1.6× 5 377
Alexander Novikov Russia 5 183 1.5× 52 1.0× 48 1.2× 14 0.6× 38 1.6× 12 402
David Schneider United States 9 121 1.0× 48 0.9× 33 0.8× 19 0.8× 47 2.0× 41 316
Hao Ji United States 9 68 0.5× 52 1.0× 34 0.8× 8 0.3× 16 0.7× 31 251
Mark Lutz Germany 6 101 0.8× 32 0.6× 29 0.7× 37 1.5× 63 2.6× 13 350
Michael J. Mossinghoff United States 12 80 0.6× 131 2.5× 60 1.5× 10 0.4× 52 2.2× 44 540
Isabel Beichl United States 8 55 0.4× 35 0.7× 38 0.9× 3 0.1× 25 1.0× 37 388
Quan Gan China 9 214 1.7× 37 0.7× 42 1.0× 23 0.9× 40 1.7× 25 404
Guido Montúfar United States 11 142 1.1× 39 0.8× 13 0.3× 4 0.2× 8 0.3× 30 291
Giorgio Vassallo Italy 11 71 0.6× 46 0.9× 31 0.8× 29 1.2× 31 1.3× 57 358

Countries citing papers authored by Daniel Zheng

Since Specialization
Citations

This map shows the geographic impact of Daniel Zheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zheng more than expected).

Fields of papers citing papers by Daniel Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Zheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Zheng. The network helps show where Daniel Zheng may publish in the future.

Co-authorship network of co-authors of Daniel Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Zheng. A scholar is included among the top collaborators of Daniel Zheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Zheng. Daniel Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Zhang, Yuying, Lian Liu, Chun Liang Hsu, et al.. (2025). The Longitudinal Association Between Chronic Back Pain and Cognitive Decline in Older Adults With Mediation Analysis: An Analysis of Four Population‐Based Databases. European Journal of Pain. 29(8). e70084–e70084. 1 indexed citations
2.
Wang, Jin, et al.. (2025). Numerical investigation on thermal–hydraulic performance of an intercooler with bionic channel textures. International Journal of Heat and Fluid Flow. 112. 109744–109744. 4 indexed citations
3.
Austin, Jacob, Nimesh Ghelani, Pascal Lamblin, et al.. (2024). Resolving Code Review Comments with Machine Learning. 204–215. 6 indexed citations
4.
Jin, Yao, et al.. (2024). Structure optimization of intercooler bionic fins based on artificial neural network and genetic algorithms. Energy. 307. 132615–132615. 5 indexed citations
7.
Zheng, Daniel & Evangeline F. Y. Young. (2023). An Integrated Circuit Partitioning and TDM Assignment Optimization Framework for Multi-FPGA Systems. 522–528. 1 indexed citations
8.
Juffs, Alan, et al.. (2022). Handle it in-house?. International Journal of Corpus Linguistics. 27(3). 291–320. 2 indexed citations
9.
Davies, Alex, Petar Veličković, Lars Buesing, et al.. (2021). Advancing mathematics by guiding human intuition with AI. Nature. 600(7887). 70–74. 243 indexed citations breakdown →
10.
Zheng, Daniel, et al.. (2021). TopoPart: a Multi-level Topology-Driven Partitioning Framework for Multi-FPGA Systems. 1–8. 7 indexed citations
11.
Zheng, Daniel, Xiaopeng Zhang, Chak-Wa Pui, & Evangeline F. Y. Young. (2021). Multi-FPGA Co-optimization. 176–182. 3 indexed citations
12.
Chen, Jingsong, Jinwei Liu, Gengjie Chen, Daniel Zheng, & Evangeline F. Y. Young. (2019). MARCH. 1–6. 11 indexed citations
13.
Wang, Fei, et al.. (2019). Demystifying differentiable programming: shift/reset the penultimate backpropagator. Proceedings of the ACM on Programming Languages. 3(ICFP). 1–31. 30 indexed citations
14.
Han, Na-Rae, et al.. (2018). Accurate Measurement of Lexical Sophistication with Reference to ESL Learner Data.. Educational Data Mining. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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